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Capturing Successful Child Welfare Practice in Rural, North Carolina Communities

Capturing Successful Child Welfare Practice in Rural, North Carolina Communities. 31st Annual National Institute on Social Work and Human Services in Rural Areas Bowling Green Kentucky July 19-21, 2006 Rural Success Child Welfare Project staff at UNC–School of Social Work:

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Capturing Successful Child Welfare Practice in Rural, North Carolina Communities

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  1. Capturing Successful Child Welfare Practice in Rural, North Carolina Communities 31st Annual National Institute on Social Workand Human Services in Rural AreasBowling Green KentuckyJuly 19-21, 2006 Rural Success Child Welfare Project staff at UNC–School of Social Work: Gary M. Nelson, DSW, Associate Professor, Project Director Christine Howell, MPA, Education Specialist, Project Coordinator Mary Anne Salmon, Ph.D., Research Associate Professor John Painter, Ph.D., Research Assistant Professor This research was made possible byDepartment of Health and Human Services, Administration for Children and Families “Training for Effective Child Welfare Practice in Rural Communities”- 90CT0801

  2. Rural Success • Grants for rural projects assume deficit • Poor counties + fewer resources = poor outcome • Is this assumption valid? • A strengths-based approach and beyond • What can the rest of the world learn from the success of rural child welfare programs?

  3. Today’s Topics • What’s in the literature? • What do we mean by rural? • What does rural look like in NC? • Outcomes • Process Measures • Resources • Implications

  4. What’s in the literature? • Approach • Little recognition of rural continuum (metro-non-metro) • Largely qualitative • Outcomes • Few rural-urban comparisons • One finding suggest different rural and urban roles for child welfare • Resources • Greater rural poverty • Poorer access to transportation and health care • Policy and Practice • Professionalism is one focus—real or perceived difference?

  5. What Do We Mean by “Rural?” • Census definition of “urban/rural” not “metropolitan/non-metropolitan” • Continuous Variable “Percent rural” • 5 rural categories (not interval) • 100% rural • More than 2/3 rural (66.7 to 99.9%) • More than 1/2 rural (50.1 to 66.6%) • More then 1/2 urban (33.3 to 50.0% rural) • More than 2/3 urban (0 to 33.3% rural)

  6. NC Regions West/Mountains Piedmont East/Coastal Plain

  7. Stokes Warren Caswell Rockingham Person Vance Pasquotank Currituck Camden Granville Forsyth Franklin Guilford Orange Alamance Alleghany Northampton Nash Gates Surry Ashe Durham Hertford Halifax Watauga Wake Davidson Perquimans Wilkes Chatham Randolph Yadkin Chowan Bertie Mitchell Avery Johnston Caldwell Davie Lee Yancey Alexander Edgecombe Washington Madison Martin Harnett Washington Iredell Moore Stanly Dare Tyrrell Burke Wilson Montgomery Catawba McDowell Rowan Buncombe Pitt Beaufort Haywood Cumberland Swain Lincoln Greene Hoke Hyde Richmond Sampson Rutherford Anson Cabarrus Wayne Henderson Graham Jackson Gaston Polk Cleveland Lenoir Scotland Transylvania Craven Macon Mecklenburg Pamlico Cherokee Robeson Bladen Clay Jones Union Duplin Carteret Onslow Columbus Pender New Hanover Brunswick The Rural-Urban Continuum in NC Counties 100% Rural 67 to 99% Rural 51 to 66% Rural 34 to 50% Rural 0 to 33% Rural

  8. What Does Rural Mean in North Carolina? • Most rural counties in West (mountains)and East (coastal plain) • 39.8% of NC population is rural compared to 21.0% of US population • 1.0% of NC population live on farms compared to 1.1% of US population • Population density of rural counties is much greater than in the Western US

  9. Rurality and Outcomes Stability of placements for children Length of stay

  10. Outcomes: Experiences ofChildren in Care • Longitudinal by Entry Cohort • First entered placement authority 2002-04 • Used 3-year cohort because of small numbers in the most rural counties • Data made available to county DSS agencies for planning and self-evaluation

  11. Why County-Level Data? • County-level data is not an effective way to describe/predict the experiences of children in placement • Usual issues of aggregate data • HLM shows variance explained at child level 19 times greater than that at county level (little effect of specific agency) • County-level data is the appropriate way to talk about the environment and performance of county agencies

  12. Number of Placements • Observed difference • Correlation between percent rural and average number of placements per child (r = -.253. p =.011) • Multilevel analysis model predicts significant effect of rurality on average number of placements • Model predicts average of 2.2 placements in first placement spell for children in 100% rural counties • 2.6 placements predicted for 100% urban county

  13. Length of Stay • Children in rural counties have, on average, shorter lengths of stay in placement authority (r = -.290, p = .003)

  14. Length of StayContinued • Primary difference between most urban counties and all others • After about 2 years, children in 100% rural counties clearly less likely to remain in care than those in more urban counties

  15. Median Length of Stay in Placement Authority Median # Days • 0 to 33% rural 497 • 33 to 50% rural 343 • 50 to 66% rural 353 • 66 to 99% rural 325 • 100% rural 332

  16. Other Outcomes • No difference among rural and urban counties in: • Percent of children ever placed in non-family (group) care • Average number of placement spells (re-entry)

  17. Performance Measures Child and Family Services Review “The Biennial Review” SFY 2003-04 and SFY 2004-05 biennium

  18. The Biennial Review • Paper self-evaluation • Site visit with record review scored on 7 “outcomes” • Children are, first and foremost, protected from abuse and neglect (S1). • Children are safely maintained in their homes whenever possible & appropriate (S2). • Children have permanency and stability in their living situations (P1). • The continuity of family relationships and connections is preserved for children (P2). • Families have enhanced capacity to provide for their children’s needs (WB1). • Children receive appropriate services to meet their educational needs (WB2). • Children receive adequate services to meet their physical & mental health needs (WB3)

  19. Process Indicators • “Outcomes” measured by 23 largely-process indicators. For example: • Timeliness of initiating investigations of reports of child maltreatment • Child and family involvement in case planning

  20. Rural Urban Comparison • Rural Counties more likely to be “in essential compliance” with outcomes • r = .3214, p=.0011 • Rural Counties less likely to “need improvement” in the 23 indicators • r = .3754, p = .0001

  21. Mean County Scores by Percent Rural

  22. Differences and Similarities • On most indicators, rural and urban counties had similar successes • Differences (all in favor of rural) were found in the following: • Item 1. Timeliness of initiating investigations of child maltreatment • Item 2. Low level of repeat maltreatment • Item 17. Needs met/services for child, parents, foster parents • Item 18. Child and family involvement in case planning • Item 19. Worker visits with child • Item 20. Worker visits with parents • Item 22. Physical health needs of the child [met] • Item 23. Mental health needs of the child [met]

  23. Resources

  24. Rural and Urban NC Counties Differences and Similarities • Differences— rural counties: • Higher % children in poverty (r = .323, p =.0010) • Lower median family income (r = -.632, p ,.0001) • More likely to be in West (r = .295, p =.0029) • Lower proportion of single-parent households(r = -.216, p =.0309) • Similarities—no significant difference • Unemployment rates • Percent African American (varies regionally)

  25. County Demographic Predictors of Child Poverty in NC % of Population rural =.343, p<.0001 Unemployment rate (+) =.248, p<.0001 % African American (+) =.081, N.S. % of Children in Poverty (+) (-) =.327, p<.0001 (+) East (yes, no) =.245, p<.0001 (-) (+) West/Mountains (yes, no) (-) =.540, p<.0001 (-) Adjusted R2 =.844p <.0001 % of children in single parent households (+) % of Population rural

  26. Mean DSS Child Spending per Child by Rural Category

  27. DSS Spendingper Child in County • Agencies in poor counties spend more per child • When we look at rurality and child poverty together, the effect of poverty dominates, but both are significant: Variable B  p Intercept $234.05 Percent rural -$0.87 -0.25775 0.0095 Percent kids in poverty $6.37 0.42510 <.0001 Adjusted R2 = 0.1593, p < .0001

  28. Sources of Funds • Federal spending • Higher in poor counties ( =.717, p < .0001) • Lower in rural counties ( = -.299, p = .0002) • Adjusted R2 = 0.453, p < .0001 • State spending • Does not differ significantly by poverty • Lower in rural counties ( =-.23032 , p =.0280) • County spending • Totally unrelated to poverty or rurality

  29. DSS Child Spending by Source and Rural Category

  30. The Bottom Line • Despite fewer resources, rural child welfare agencies, on average, are doing as well or better than urban agencies in both outcome and process measures.

  31. Policy Implications • Need greater understanding of the unique complexities of child welfare in rural communities • Need to think about distributing resources to reward outcomes as well as to recognize poverty and other additional challenges • Informal connections in rural communities may offset economies of scale in urban communities • Urban communities can learn from rural communities

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